Software rejuvenation policies for cluster system

DOI10.1007/s40010-016-0273-1zbMath1426.68027OpenAlexW2356186570WikidataQ113444421 ScholiaQ113444421MaRDI QIDQ1700271

T. Manjula, Madhu Jain, T. R. Gulati

Publication date: 5 March 2018

Published in: Proceedings of the National Academy of Sciences, India. Section A. Physical Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s40010-016-0273-1

zbMATH Keywords

embedded systemavailabilityrebootdowntime costrejuvenation policysoftware ageing

Mathematics Subject Classification ID

Reliability, testing and fault tolerance of networks and computer systems (68M15)

Cites Work

• Resource allocation optimization for quantitative service differentiation on server clusters
• Failure-aware resource management for high-availability computing clusters with distributed virtual machines
• Reliability analysis and fault tolerance for hypercube multi-computer networks
• Software rejuvenation for resource optimization based on explicit approximate inverse preconditioning
• Fine grained software degradation models for optimal rejuvenation policies

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